{"as_of":"2026-08-07T20:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cee2419188796f50b8994ec983dd86905776ec23b95658c99e6443f89c08edbb","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:11:32.736571Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T10:48:03.161959Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":"2406.20092","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-07-03T10:48:03.161959Z","title":"Llavolta: Efficient multi-modal models via stage-wise visual context compression","venue":null,"work_id":"af34adfc-9e60-452f-b15b-8d50640ed007","year":2024},"citing_paper":{"arxiv_id":"2410.17247","last_updated":"2025-02-27T11:16:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-22T17:59:53Z","title":"PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-15T12:12:14.613620Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2410.17247"},"observation_digest":"sha256:e43177210ae38987a5e6ced13dabca0337caa8dada33b3ae52a4a32674a63615","observation_id":"46f9e84c-7eac-4789-9d20-70dc9040a77d","resolution":{"observed_at":"2026-05-15T12:12:14.743952Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":"2406.20092","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-07-03T10:48:03.161959Z","title":"Llavolta: Efficient multi-modal models via stage-wise visual context compression","venue":null,"work_id":"af34adfc-9e60-452f-b15b-8d50640ed007","year":2024},"citing_paper":{"arxiv_id":"2501.00574","last_updated":"2025-07-13T16:21:16Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-31T18:01:23Z","title":"VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-18T04:02:43.261543Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2501.00574"},"observation_digest":"sha256:ca3d2aabe5e6086436b5ee53f82cd69601a06783cd4ecc8b508c8338c6bfba1f","observation_id":"dd31a8fc-f16e-4dcd-bc52-ab91dbd3186a","resolution":{"observed_at":"2026-05-18T04:02:43.682863Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":"2406.20092","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-07-03T10:48:03.161959Z","title":"Llavolta: Efficient multi-modal models via stage-wise visual context compression","venue":null,"work_id":"af34adfc-9e60-452f-b15b-8d50640ed007","year":2024},"citing_paper":{"arxiv_id":"2503.14075","last_updated":"2026-04-10T01:08:12Z","snapshot_observed_at":"2026-07-06T20:54:36.522651Z","submitted_at":"2025-03-18T09:52:45Z","title":"Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-22T23:58:57.819555Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2503.14075"},"observation_digest":"sha256:5770cb2eb6ee6147373ae01276371671aab71c7e143ef9b5b6e051b112da07b3","observation_id":"5c4ded37-74fb-480f-a64a-039396ba00c7","resolution":{"observed_at":"2026-05-23T00:02:17.873890Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-08-07T14:11:32.736571Z","title":"Llavolta: Efficient multi-modal models via stage-wise visual context compression","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19812","last_updated":"2025-05-26T10:49:44Z","snapshot_observed_at":"2026-08-07T14:03:35.738779Z","submitted_at":"2025-05-26T10:49:44Z","title":"Efficient Multi-modal Long Context Learning for Training-free Adaptation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T14:11:32.736571Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2505.19812"},"observation_digest":"sha256:ed286998f077a6db6cef1497d1216530513b251455bc51c2c75d47366d5fc56b","observation_id":"2167d069-857a-41eb-9072-65fe975ff2e5","resolution":{"observed_at":"2026-08-07T14:11:32.736571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-08-07T00:42:53.603924Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13166","last_updated":"2025-06-16T07:21:11Z","snapshot_observed_at":"2026-08-07T08:04:06.531324Z","submitted_at":"2025-06-16T07:21:11Z","title":"GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T00:42:53.603924Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2506.13166"},"observation_digest":"sha256:e46ed4b371bf4ce50d5deaa996490271052543d39171a3278c66db6d77b6f342","observation_id":"28c77754-5715-4cfa-a80a-afb162c9921b","resolution":{"observed_at":"2026-08-07T00:42:53.603924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-08-06T18:02:58.561451Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09334","last_updated":"2025-07-12T16:29:02Z","snapshot_observed_at":"2026-08-06T17:56:14.969465Z","submitted_at":"2025-07-12T16:29:02Z","title":"Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:02:58.561451Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2507.09334"},"observation_digest":"sha256:dcbd2938278cc8d92baa648919416bdbf14fe101d812707ef5585e25c312faa4","observation_id":"0e65442a-8ef8-44e2-86c1-fa56cf9150ee","resolution":{"observed_at":"2026-08-06T18:02:58.561451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-08-05T19:06:39.208373Z","title":"Semantic Understanding of Traffic Scenes with Large Vision-Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13439","last_updated":"2025-08-19T01:44:02Z","snapshot_observed_at":"2026-08-05T19:06:19.224272Z","submitted_at":"2025-08-19T01:44:02Z","title":"Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T19:06:39.208373Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2508.13439"},"observation_digest":"sha256:0d8a15bcd4464c53c1f40755d225df83a764fb39416764c038f754fdcd321e22","observation_id":"9366842e-7f78-4ba8-a8a1-f0bdb62c1076","resolution":{"observed_at":"2026-08-05T19:06:39.208373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":"2406.20092","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-07-03T10:48:03.161959Z","title":"Llavolta: Efficient multi-modal models via stage-wise visual context compression","venue":null,"work_id":"af34adfc-9e60-452f-b15b-8d50640ed007","year":2024},"citing_paper":{"arxiv_id":"2604.12358","last_updated":"2026-04-15T17:43:53Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T06:48:31Z","title":"Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T14:50:37.022338Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2604.12358"},"observation_digest":"sha256:22f6eb96095489176bd38ae936bd975e42068c85d82e71ef4608f9088593c9e0","observation_id":"4ca98475-15be-4e2d-b40d-3420c76b12b1","resolution":{"observed_at":"2026-05-11T11:31:01.569823Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":"2406.20092","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-07-03T10:48:03.161959Z","title":"Llavolta: Efficient multi-modal models via stage-wise visual context compression","venue":null,"work_id":"af34adfc-9e60-452f-b15b-8d50640ed007","year":2024},"citing_paper":{"arxiv_id":"2606.11853","last_updated":"2026-06-10T09:30:25Z","snapshot_observed_at":"2026-08-02T20:07:37.622537Z","submitted_at":"2026-06-10T09:30:25Z","title":"Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning","version":1},"reference_index":210,"source":"arxiv_source","source_observed_at":"2026-06-27T10:28:11.440915Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2606.11853"},"observation_digest":"sha256:64860b2ebaeccc649938555d4c18519bd370e29a9e16b20e5cdf2e5ef90dc466","observation_id":"97a43270-b6fe-47e1-b35c-e6153636e3bc","resolution":{"observed_at":"2026-07-03T09:07:48.419690Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression","version":2},"cited_work":{"arxiv_id":"2406.20092","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.20092","snapshot_observed_at":"2026-07-03T10:48:03.161959Z","title":"Llavolta: Efficient multi-modal models via stage-wise visual context compression","venue":null,"work_id":"af34adfc-9e60-452f-b15b-8d50640ed007","year":2024},"citing_paper":{"arxiv_id":"2606.12195","last_updated":"2026-06-10T15:17:08Z","snapshot_observed_at":"2026-08-01T02:09:41.655807Z","submitted_at":"2026-06-10T15:17:08Z","title":"InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning","version":1},"reference_index":295,"source":"arxiv_source","source_observed_at":"2026-06-27T09:48:27.652901Z"},"links":{"cited_paper":"/paper/2406.20092","citing_paper":"/paper/2606.12195"},"observation_digest":"sha256:f9ef280840e5527270167447205fbca43dcfef9caa82a188b9267026be162fed","observation_id":"b00b2214-67db-454d-bb4b-8352925e2055","resolution":{"observed_at":"2026-07-03T10:48:03.163310Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.20092/citation-record","integrity":"/paper/2406.20092/integrity","json":"/paper/2406.20092/citation-record.json","paper":"/paper/2406.20092"},"outbound":[],"paper":{"arxiv_id":"2406.20092","last_updated":"2024-11-17T17:05:03Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T16:52:27.688910Z","submitted_at":"2024-06-28T17:57:14Z","title":"Efficient Large Multi-modal Models via Visual Context Compression"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.20092."}